Since Kimura (1968) and King & Jukes (1969) first suggested that most polymorphisms are selectively neutral, testing the neutral hypothesis has been one of the prime objectives of molecular population ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant.

In the last two decades, the rubber process analyzer has been used increasingly to predict changes in a tires compound's processing and/or product performance by measuring viscoelastic properties at ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...